The Vendor-Locked Model Problem
Every major AI interview copilot — Cluely, Interview Coder, Final Round AI, Sensei AI — runs their own AI backend. When you ask a question, your transcript goes to their servers, gets processed by their model, and comes back.
This creates three problems:
- They pay per response — so they have to charge you $75-$299/month to cover GPU costs
- They control the model — you get whatever model they decide to use, which may be cheap and fast rather than good
- Your data hits their servers — your interview transcripts, resume content, and job descriptions are processed on infrastructure you don't control
How faFAANG's BYOM Architecture Works
faFAANG doesn't have its own AI model server. Instead, it connects to your existing ChatGPT/Codex account through OpenAI's local Codex app-server. The entire AI pipeline works like this:
Your microphone
→ faFAANG local transcription (Moonshine, on-device)
→ Your transcript text
→ Your ChatGPT/Codex account
→ Response streams back to faFAANG overlay
faFAANG handles transcription locally (your audio never leaves your machine), builds the context and prompt, and sends it to your own ChatGPT/Codex session. The response streams back into the overlay. faFAANG's servers are never in the middle.
What This Means for You
No Usage Limits from faFAANG
Your sessions are limited only by your ChatGPT account's capacity. faFAANG doesn't throttle you, cap your responses, or charge more for heavy usage. If your ChatGPT account allows it, faFAANG runs it.
You Pick the Model
faFAANG supports auto or manual model selection. You can choose specific models, use custom model IDs, and adjust effort levels. When OpenAI releases a new model, you can use it immediately — no waiting for faFAANG to "support" it.
Better Privacy
Your interview transcripts flow through your own OpenAI account — the same account you already trust with your data. There's no third-party company storing your behavioral interview stories, salary expectations, or coding solutions.
Lower Price for faFAANG
Since faFAANG doesn't run AI compute, it doesn't need to charge $75-$299/month. The lifetime plan is $49.99. That's the cost of the overlay, transcription, context system, and stealth — not AI tokens.
"But I Already Pay for ChatGPT"
Exactly. That's the point. If you're already paying $20/month for ChatGPT Plus (or have access through work), you're already paying for the AI compute. Why would you pay another $75-$299/month to a copilot company to run a different, potentially worse model?
With faFAANG, your existing ChatGPT subscription becomes your interview copilot's brain. You're not paying twice for AI.
What faFAANG Actually Does
If faFAANG doesn't run the AI, what are you paying for? The things that make an interview copilot actually work in a live interview:
- Windows-native stealth overlay — WDA_EXCLUDEFROMCAPTURE invisibility from screen shares
- Local speech transcription — bundled Moonshine engine, no cloud audio processing
- Dual-mode context grounding — separate Experience and Coding modes with deep resume/JD seeding
- Screenshot-assisted coding — multi-shot capture for coding rounds
- Keyboard-first operation — 20+ remappable global shortcuts
- Response history — navigate back through prior answers mid-interview
These are the hard engineering problems that make the difference between "paste your transcript into ChatGPT" and "invisible copilot that works in real-time during a live Google Meet screen share."
TL;DR
faFAANG is the interface, the stealth layer, the transcription engine, and the context system. Your ChatGPT account is the brain. You're not paying for AI twice — you're paying once for the best model (through OpenAI) and once for the best delivery system (through faFAANG).